961 search results - page 33 / 193 » Significance-Driven Graph Clustering |
105
Voted
GD
2005
Springer
15 years 6 months ago
2005
Springer
Widely varying node degrees occur in software dependency graphs, hyperlink structures, social networks, and many other real-world graphs. Finding dense subgraphs in such graphs is ...
104
Voted
DAC
2003
ACM
16 years 1 months ago
2003
ACM
This paper presents a novel partial assignment technique (PAT) that decides which tasks should be assigned to the same resource without explicitly defining assignment of these tas...
106
Voted
PLDI
2003
ACM
15 years 5 months ago
2003
ACM
Clustered architectures are a solution to the bottleneck of centralized register files in superscalar and VLIW processors. The main challenge associated with clustered architectu...
85
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we present a method for impulse noise removal that makes use of spectral clustering and graph regularization. The image is modeled as a graph and local spectral anal...
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...